Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets. - Guillaume Bellec; Franz Scherr; Elias Hajek; Darjan Salaj; Robert Legenstein; Wolfgang Maass 001 (CoRR, 2019)

Neuromorphic Hardware learns to learn. - Thomas Bohnstingl; Franz Scherr; Christian Pehle; Karlheinz Meier; Wolfgang Maass 001 (CoRR, 2019)

Reservoirs learn to learn. - Anand Subramoney; Franz Scherr; Wolfgang Maass 001 (CoRR, 2019)

Bestärkendes Lernen und Metalernen in neuronalen Netzwerken. - Franz Scherr (Ausgezeichnete Informatikdissertationen, 2020)

CCN GAC Workshop: Issues with learning in biological recurrent neural networks. - Luke Y. Prince; Ellen Boven; Roy Henha Eyono; Arna Ghosh; Joe Pemberton; Franz Scherr; Claudia Clopath; Rui Ponte Costa; Wolfgang Maass 001; Blake A. Richards; Cristina Savin; Katharina Anna Wilmes (CoRR, 2021)

2021 Roadmap on Neuromorphic Computing and Engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (CoRR, 2021)

Reservoirs Learn to Learn. - Anand Subramoney; Franz Scherr; Wolfgang Maass 001 (Reservoir Computing, 2021)

Self-Supervised Learning Through Efference Copies. - Franz Scherr; Qinghai Guo; Timoleon Moraitis (NeurIPS, 2022)

2022 roadmap on neuromorphic computing and engineering. - Dennis V. Christensen; Regina Dittmann; Bernabé Linares-Barranco; Abu Sebastian; Manuel Le Gallo; Andrea Redaelli; Stefan Slesazeck; Thomas Mikolajick; Sabina Spiga; Stephan Menzel; Ilia Valov; Gianluca Milano; et al. (Neuromorph. Comput. Eng., 2022)

Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations. - Javier Galván Fraile; Franz Scherr; José J. Ramasco; Anton Arkhipov; Wolfgang Maass 001; Claudio R. Mirasso (PLoS Comput. Biol., 2024)